Kana

Kana — CS2 Stats

76561198072309021[U:1:112043293]Steam profile ↗✓ No bans

1,862Tracked matches59%Win rate2020Tracked since
CSDB Rating5.5 SolidPositional Player
Premier CS Rating24,163Top 25% of 213,399 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)
CSDB Leaderboard#31084 of 260013 tracked
FaceitLevel 7 · 1,578 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (65 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 24,163 → 24,163
0Faceit ELO · 1,578 → 1,578
+12Tracked matches · now 1,862
+6.9ppWin rate · 51.7% → 58.6%

Rating over time

Premier CS Rating: 24,163 +6,220 28 Dec – 1 Sept · 24 days played
17,94325,002peak 25,00228 Dec1 Sept
25,104Peak Premier in tracked matches
1,578Highest Faceit ELO seen on CSDB
62Days played since 2024-10-09

Faceit ELO

  • At peak — 1,578
  • Next: Level 9 at 1,751 — 173 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-01
  • Level 7 first seen 2026-09-01

Premier CS Rating

  • 839 below peak (25,002)
  • Next: Red band at 25,000 — 837 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGKanaFACEITLevel 7 · 1,578 ELOSTANDINGTop 42.3% of rankedPREMIER24,163 · Pink bandPEAK ELO1,578csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim56
Positioning51
Utility44

0–100 skill scores via Leetify.

Recent form

HOT53–45–2Last 10053%Win rateWWWWLWWWWL

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating · +2.4pp headshot accuracy · +18ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 566ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 573ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim5.6
Utility4.4
Positioning5.1
Opening Duels2.7
Clutch2.8

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 49% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.6
Positioning5.1
Utility4.4
Mechanics6.2
Opening Duels2.9
Win Impact7.9

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time571ms−68ms
first ⅓ avg 639ms → last ⅓ avg 571ms
Headshot accuracy16.7%−0.6%
first ⅓ avg 17.4% → last ⅓ avg 16.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 8–13 · mirage, 3 Jan →
54%Best headshot accuracy · 13–6 · mirage, 14 Dec →
391msFastest reaction time · 9–13 · train, 6 Jan →
13–1Biggest win · inferno, 14 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
7–4In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 80% over 5trainWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA3318–1555%-0.00
nukeA1912–763%0.00
infernoB147–750%-0.01
ancientA85–363%-0.02
trainD81–713%-0.02
dust2B84–450%-0.02
anubisS54–180%-0.01
cache—21–150%0.00
vertigo—21–150%-0.03
overpass—10–10%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

2,468Matches
49%Win rate
0.99Avg K/D
67.8ADR
43%Headshot %

Clutches & streaks

34%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage9744%0.8613.5
Nuke7360%1.0514.9
Vertigo4753%1.1016.4
Anubis4547%0.8914.5
Inferno4252%1.0015.1
Ancient3241%0.9213.9
Train2045%0.8410.8
Dust21145%0.8512.8

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.8%Headshot accuracy
29.1%Accuracy (enemy spotted)
33.3%Spray accuracy
78.0%Counter-strafing
10.2°Preaim
569msReaction time
33.7%T opening success
49.2%CT opening success
0.63Enemies flashed / flash
2.7%Flash assists
8.70HE damage / grenade
6.46Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 33.7133% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0614%1 Nov →
inferno13–11-0.0312%30 Oct →
anubis13–4-0.0024%24 Jun →
mirage13–90.0835%24 Jun →
nuke7–13-0.0428%24 Jun →
ancient13–10-0.0116%13 May →
mirage13–7-0.0112%9 May →
cache13–80.0117%7 May →
ancient13–10-0.0114%7 May →
cache10–13-0.0117%6 May →
inferno8–13-0.0314%8 Feb →
inferno14–16-0.0221%6 Feb →
nuke13–9-0.0115%5 Feb →
mirage4–13-0.0222%5 Feb →
ancient13–110.0415%5 Feb →
nuke13–30.0220%4 Feb →
mirage11–13-0.0216%21 Jan →
mirage13–3-0.0613%21 Jan →
nuke6–13-0.039%19 Jan →
ancient12–120.0421%18 Jan →
mirage10–13-0.0219%12 Jan →
nuke13–16-0.0119%12 Jan →
mirage13–8-0.069%6 Jan →
nuke13–9-0.0418%6 Jan →
train9–13-0.0416%6 Jan →
mirage13–10-0.038%4 Jan →
ancient13–6-0.063%4 Jan →
mirage8–130.1423%3 Jan →
mirage13–90.0725%3 Jan →
dust28–13-0.0410%1 Jan →
nuke5–13-0.0216%1 Jan →
mirage9–13-0.0220%1 Jan →
mirage7–13-0.0615%17 Dec →
inferno13–110.0411%17 Dec →
dust216–130.006%17 Dec →
inferno13–10.0018%14 Dec →
nuke13–60.0312%14 Dec →
nuke7–13-0.0233%14 Dec →
mirage13–60.0754%14 Dec →
mirage13–8-0.0312%12 Dec →
train4–13-0.0817%9 Dec →
mirage13–70.0230%8 Dec →
mirage6–130.0328%6 Dec →
nuke14–160.0315%6 Dec →
nuke13–80.1018%5 Dec →
mirage10–13-0.0011%5 Dec →
train6–9-0.1013%5 Dec →
nuke2–13-0.0414%3 Dec →
inferno0–13-0.0414%1 Dec →
dust24–13-0.0617%1 Dec →
overpass2–13-0.035%12 Nov →
train6–130.0414%19 Aug →
mirage16–120.0224%14 Aug →
mirage9–13-0.0321%13 Aug →
inferno10–13-0.0422%13 Aug →
ancient13–80.0011%6 Aug →
inferno13–7-0.0122%6 Aug →
dust216–14-0.0221%4 Aug →
nuke13–70.0117%4 Aug →
train3–13-0.0340%3 Aug →
nuke13–30.0025%2 Aug →
nuke13–60.0031%29 Jul →
mirage13–4-0.0125%24 Jul →
mirage2–13-0.0524%7 Jul →
ancient6–13-0.0811%2 Jul →
mirage13–60.0122%2 Jul →
nuke13–11-0.0121%1 Jul →
nuke13–90.0113%1 Jul →
inferno8–130.0122%10 May →
mirage13–60.0027%7 May →
inferno7–13-0.062%7 May →
train9–130.0214%17 Apr →
anubis16–120.0417%12 Apr →
nuke13–40.0516%12 Apr →
inferno16–120.0517%12 Apr →
dust213–70.0227%12 Apr →
mirage13–70.0816%10 Apr →
dust26–13-0.0216%10 Apr →
mirage9–130.0030%9 Apr →
mirage1–13-0.0714%9 Apr →
mirage13–40.0214%8 Apr →
mirage9–13-0.0017%6 Apr →
dust215–15-0.0419%5 Apr →
nuke13–100.0123%4 Apr →
inferno8–00.020%4 Apr →
mirage4–13-0.0527%4 Apr →
dust213–10-0.0022%2 Apr →
train13–60.0614%2 Apr →
inferno10–13-0.0220%1 Apr →
train9–13-0.0611%17 Mar →
ancient8–13-0.077%1 Mar →
anubis13–9-0.0018%31 Jan →
mirage16–140.0224%31 Jan →
mirage13–6-0.0226%25 Jan →
anubis13–7-0.0226%24 Jan →
vertigo11–13-0.039%14 Jan →
vertigo13–10-0.0317%14 Jan →
anubis3–13-0.0820%13 Jan →
mirage9–13-0.0420%28 Dec →
mirage13–10-0.0110%9 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.